{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# KM Pipeline（摄取管道）\n",
    "\n",
    "KM 摄取组件利用一系列连续步骤的底层管道，接受一些数据作为输入，例如文件、URL 或字符串，并逐步将输入转换为**Memory Records（记忆记录）**。KM 使用两种存储解决方案来保存信息：\n",
    "\n",
    "* Content Storage: 内容存储，客户端上传的原始数据、管道状态、分配给文档的唯一 ID。\n",
    "* Memory Storage:  记忆存储，具有搜索功能的数据库（比如向量数据库），KM 在其中存储 Memory Records。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div></div><div></div><div><strong>Installed Packages</strong><ul><li><span>dotenv.net, 3.2.1</span></li><li><span>Microsoft.KernelMemory.AI.AzureOpenAI, 0.98.250324.1</span></li><li><span>Microsoft.KernelMemory.Core, 0.98.250324.1</span></li><li><span>Microsoft.KernelMemory.MemoryDb.Qdrant, 0.98.250324.1</span></li></ul></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "//通过引入Config/PrepareEnv.cs文件来快速安装依赖包并导入已抽象的类文件，然后注册并激活 Memory 服务：\n",
    "\n",
    "#!import Config/PrepareEnv.cs\n",
    "\n",
    "var memory = GetSimpleMemory();"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 内置摄取管道\n",
    "\n",
    "\n",
    "KM 中内置了多个摄取管道，定义在`Microsoft.KernelMemory.Constants`类中，其中每个摄取管道都有多个步骤组成，每个步骤都有对应的`Handler` 进行处理。其中内置的步骤主要有：\n",
    "1. extract: 提取，由`TextExtractionHandler` 进行处理。此处理程序通常是第一个被调用的，它接收一个文件并提取文本，同时也负责OCR和文件类型检测。如果客户端提供一个 URL，该处理程序会下载网页并提取文本。此处理程序的输出保存在内容存储中，以供后续处理程序进一步处理。\n",
    "\n",
    "2. partition：分片，由`TextPartitioningHandler` 进行处理。 此处理程序将由上一个处理器创建的文本文件按照配置拆分为多个小块（Chunks）。默认处理器将文本按句子（也称为“行”）拆分，并将它们聚合在段落（也称为“Partition（分区）”）中。行/句子/段落/分区的大小以标记数来衡量。一旦分区准备好，它们就会被保存到相同的内容存储中，为下一步做好准备。目前，分区文件被保存为原始文本文件。另外，默认处理器不理解代码语法、聊天记录、JSON 或其他结构化数据，这些总是被视为字符串处理。如果需要处理特定格式，请自定义处理器，以便更好地进行分割。\n",
    "\n",
    "3. gen_embeddings: 生成嵌入向量，由`GenerateEmbeddingsHandler` 进行处理。该处理程序会加载每个分区文件，获取文本并使用已配置的嵌入生成器计算嵌入向量。该向量被序列化为 JSON 并保存回内容存储中。这个处理程序一次处理一个分区，没有任何并行性，并且耗时根据所使用的大语言模型的性能表现而不同，完成可能需要几毫秒到几分钟的时间。\n",
    "\n",
    "4. save_records： 保存记录，由`SaveRecordsHandler`进行处理。此处理程序将上一个处理程序生成的嵌入存储在一个或多个Memory DB中，包括有关源的信息，包括分区文本、标签和其他对搜索有用的元数据。此操作通常非常快，并且会在提供的文档 ID 与先前上传的文档 ID 匹配的情况下负责更新现有记录。\n",
    "\n",
    "5. summarize：生成摘要，由`SummarizationHandler`进行处理。这是一个可选的处理程序，客户端可以要求使用它来生成和存储上传文件的摘要。由于摘要可能很耗时，因此建议在 `save_records` 和`partition` 和`gen_embeddings` 之后使用。为了提供最佳的用户体验，最好在`save_records`后运行，如此用户可以立即开始提问，因为合成数据生成可能需要很长时间才能生成，例如总结一本书可能需要几分钟。\n",
    "\n",
    "  ![Pipeline](attachment:image.png)\n",
    "\n",
    "通过对这几个步骤的排列组合，可以形成不同的流程，以下是内置的四种流程：\n",
    "1. DefaultPipeline：即对导入的文档分片然后生成嵌入向量保存。\n",
    "2. PipelineWithoutSummary：等同于`DefaultPipeline`。\n",
    "3. PipelineWithSummary：在`DefaultPipeline`的基础上再对每个分片进行摘要并生成嵌入向量保存。\n",
    "4. PipelineOnlySummary：即对导入的文档直接生成摘要，然后对摘要生成嵌入向量保存。\n",
    "```\n",
    "namespace Microsoft.KernelMemory;\n",
    "public static class Constants\n",
    "{\n",
    "  public static readonly string[] DefaultPipeline = new string[4]\n",
    "  {\n",
    "    \"extract\",\n",
    "    \"partition\",\n",
    "    \"gen_embeddings\",\n",
    "    \"save_records\"\n",
    "  };\n",
    "  public static readonly string[] PipelineWithoutSummary = new string[4]\n",
    "  {\n",
    "    \"extract\",\n",
    "    \"partition\",\n",
    "    \"gen_embeddings\",\n",
    "    \"save_records\"\n",
    "  };\n",
    "  public static readonly string[] PipelineWithSummary = new string[7]\n",
    "  {\n",
    "    \"extract\",\n",
    "    \"partition\",\n",
    "    \"gen_embeddings\",\n",
    "    \"save_records\",\n",
    "    \"summarize\",\n",
    "    \"gen_embeddings\",\n",
    "    \"save_records\"\n",
    "  };\n",
    "  public static readonly string[] PipelineOnlySummary = new string[4]\n",
    "  {\n",
    "    \"extract\",\n",
    "    \"summarize\",\n",
    "    \"gen_embeddings\",\n",
    "    \"save_records\"\n",
    "  };\n",
    "}  \n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 指定摄取流程\n",
    "\n",
    "KM 提供了系列接口去导入数据源（文本、文件、网页），每个方法都有多个重载：\n",
    "* ImportDocumentAsync：用于导入文件，支持一次导入多个文件\n",
    "* ImportTextAsync：用于导入文本\n",
    "* ImportWebPageAsync：用于导入网页\n",
    "\n",
    "其中每个方法，都有以下几个可选参数，其中`steps` 参数就是用来指定摄取管道：\n",
    "* documentId： 文档 ID，不指定则系统会随机生成一个ID\n",
    "* tags：标签，key-value 集合\n",
    "* index：索引，不指定时，则默认值为`default`\n",
    "* steps：步骤，字符串数组，用于指定管道流程\n",
    "\n",
    "接下来以`ImportTextAsync` 为例，讲解如何指定摄取流程。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [],
   "source": [
    "var text = \"\"\"\n",
    "Kernel Memory leverages vector storage to save the meaning of the documents ingested into the service, solutions like Azure AI Search, Qdrant, Elastic Search, Redis etc.\n",
    "\n",
    "Typically, storage solutions offer a maximum capacity for each collection, and often one needs to clearly separate data over distinct collections for security, privacy or other important reasons.\n",
    "\n",
    "In KM terms, these collection are called “indexes”.\n",
    "\n",
    "When storing information, when searching, and when asking questions, KM is always working within the boundaries of one index. Data in one index never leaks into other indexes.\n",
    "\"\"\";"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 使用默认嵌入流程：\n",
    "\n",
    "    以下三种方式都将使用默认嵌入流程：\n",
    "    1. 不指定`steps` 参数\n",
    "    2. `steps` 参数设定为：`steps: Microsoft.KernelMemory.Constants.DefaultPipeline`\n",
    "    3. `steps` 参数设定为：`steps: [\"extract\", \"partition\", \"gen_embeddings\", \"save_records\"]`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [],
   "source": [
    "await memory.ImportTextAsync(\n",
    "    text: text, \n",
    "    documentId: \"km_concept_index\", \n",
    "    tags: new TagCollection()\n",
    "    {\n",
    "        { \"about\", \"km\" },\n",
    "        { \"type\", \"concept\" }\n",
    "    },\n",
    "    index: \"kernel-memory-index\"); // 不指定 steps 参数，即使用的是默认的流程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [],
   "source": [
    "await memory.ImportTextAsync(\n",
    "    text: text, \n",
    "    documentId: \"km_concept_index\", \n",
    "    tags: new TagCollection()\n",
    "    {\n",
    "        { \"about\", \"km\" },\n",
    "        { \"type\", \"concept\" }\n",
    "    },\n",
    "    index: \"kernel-memory-index\",\n",
    "    steps: Microsoft.KernelMemory.Constants.DefaultPipeline); // 显式指定使用默认流程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [],
   "source": [
    "await memory.ImportTextAsync(\n",
    "    text: text, \n",
    "    documentId: \"km_concept_index\", \n",
    "    tags: new TagCollection()\n",
    "    {\n",
    "        { \"about\", \"km\" },\n",
    "        { \"type\", \"concept\" }\n",
    "    },\n",
    "    index: \"kernel-memory-index\",\n",
    "    steps: [\"extract\", \"partition\", \"gen_embeddings\", \"save_records\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<details open=\"open\" class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>In the context provided, a KM (Kernel Memory) index refers to a collection within the Kernel Memory system that is used to store and manage data. Each index is a distinct collection that holds the meaning of the documents ingested into the service. These indexes are used to ensure that data is kept ...</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>StreamState</td><td><div class=\"dni-plaintext\"><pre>&lt;null&gt;</pre></div></td></tr><tr><td>Question</td><td><div class=\"dni-plaintext\"><pre>What is KM index?</pre></div></td></tr><tr><td>NoResult</td><td><div class=\"dni-plaintext\"><pre>False</pre></div></td></tr><tr><td>NoResultReason</td><td><div class=\"dni-plaintext\"><pre>&lt;null&gt;</pre></div></td></tr><tr><td>Result</td><td><div class=\"dni-plaintext\"><pre>In the context provided, a KM (Kernel Memory) index refers to a collection within the Kernel Memory system that is used to store and manage data. Each index is a distinct collection that holds the meaning of the documents ingested into the service. These indexes are used to ensure that data is kept separate for reasons such as security and privacy. When storing information, searching, or asking questions, Kernel Memory operates strictly within the boundaries of a single index, ensuring that data from one index does not leak into another.</pre></div></td></tr><tr><td>TokenUsage</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.TokenUsage</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Timestamp</td><td><span>2025-04-03 03:11:21Z</span></td></tr><tr><td>ServiceType</td><td><div class=\"dni-plaintext\"><pre>Azure OpenAI</pre></div></td></tr><tr><td>ModelType</td><td><div class=\"dni-plaintext\"><pre>TextGeneration</pre></div></td></tr><tr><td>ModelName</td><td><div class=\"dni-plaintext\"><pre>gpt-4o</pre></div></td></tr><tr><td>TokenizerTokensIn</td><td><div class=\"dni-plaintext\"><pre>182</pre></div></td></tr><tr><td>TokenizerTokensOut</td><td><div class=\"dni-plaintext\"><pre>102</pre></div></td></tr><tr><td>ServiceTokensIn</td><td><div class=\"dni-plaintext\"><pre>186</pre></div></td></tr><tr><td>ServiceTokensOut</td><td><div class=\"dni-plaintext\"><pre>103</pre></div></td></tr><tr><td>ServiceReasoningTokens</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr><tr><td>RelevantSources</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Link</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index/km_concept_index/e8de865e720e4b288c51b0bd5fe90ad5</pre></div></td></tr><tr><td>Index</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index</pre></div></td></tr><tr><td>DocumentId</td><td><div class=\"dni-plaintext\"><pre>km_concept_index</pre></div></td></tr><tr><td>FileId</td><td><div class=\"dni-plaintext\"><pre>e8de865e720e4b288c51b0bd5fe90ad5</pre></div></td></tr><tr><td>SourceContentType</td><td><div class=\"dni-plaintext\"><pre>text/plain</pre></div></td></tr><tr><td>SourceName</td><td><div class=\"dni-plaintext\"><pre>content.txt</pre></div></td></tr><tr><td>SourceUrl</td><td><div class=\"dni-plaintext\"><pre>/download?index=kernel-memory-index&amp;documentId=km_concept_index&amp;filename=content.txt</pre></div></td></tr><tr><td>Partitions</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation+Partition</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Text</td><td><div class=\"dni-plaintext\"><pre>Kernel Memory leverages vector storage to save the meaning of the documents ingested into the service, solutions like Azure AI Search, Qdrant, Elastic Search, Redis etc.\n",
       "\n",
       "Typically, storage solutions offer a maximum capacity for each collection, and often one needs to clearly separate data over distinct collections for security, privacy or other important reasons.\n",
       "\n",
       "In KM terms, these collection are called “indexes”.\n",
       "\n",
       "When storing information, when searching, and when asking questions, KM is always working within the boundaries of one index. Data in one index never leaks into other indexes.</pre></div></td></tr><tr><td>Relevance</td><td><div class=\"dni-plaintext\"><pre>0.790519</pre></div></td></tr><tr><td>PartitionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>SectionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>LastUpdate</td><td><span>2025-04-02 19:11:19Z</span></td></tr><tr><td>Tags</td><td><table><thead><tr><th><i>key</i></th><th>value</th></tr></thead><tbody><tr><td><div class=\"dni-plaintext\"><pre>__document_id</pre></div></td><td>[ km_concept_index ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_type</pre></div></td><td>[ text/plain ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_id</pre></div></td><td>[ e8de865e720e4b288c51b0bd5fe90ad5 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_part</pre></div></td><td>[ 4abee05580be4bee95d2bc24d7c0b7d4 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__part_n</pre></div></td><td>[ 0 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__sect_n</pre></div></td><td>[ 0 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>about</pre></div></td><td>[ km ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>type</pre></div></td><td>[ concept ]</td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr></tbody></table></div></details><style>\r\n",
       ".dni-code-hint {\r\n",
       "    font-style: italic;\r\n",
       "    overflow: hidden;\r\n",
       "    white-space: nowrap;\r\n",
       "}\r\n",
       ".dni-treeview {\r\n",
       "    white-space: nowrap;\r\n",
       "}\r\n",
       ".dni-treeview td {\r\n",
       "    vertical-align: top;\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "details.dni-treeview {\r\n",
       "    padding-left: 1em;\r\n",
       "}\r\n",
       "table td {\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "table tr { \r\n",
       "    vertical-align: top; \r\n",
       "    margin: 0em 0px;\r\n",
       "}\r\n",
       "table tr td pre \r\n",
       "{ \r\n",
       "    vertical-align: top !important; \r\n",
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       "}\r\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var answer = await memory.AskAsync(question: \"What is KM index?\", index: \"kernel-memory-index\");\n",
    "answer.Display();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 使用摘要流程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [],
   "source": [
    "await memory.ImportTextAsync(\n",
    "    text: text, \n",
    "    documentId: \"km_concept_index\", \n",
    "    tags: new TagCollection()\n",
    "    {\n",
    "        { \"about\", \"km\" },\n",
    "        { \"type\", \"concept\" }\n",
    "    },\n",
    "    index: \"kernel-memory-index\",\n",
    "    steps: Microsoft.KernelMemory.Constants.PipelineOnlySummary); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<details open=\"open\" class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>A KM index in Kernel Memory refers to a collection used for storing, searching, and querying data. Each index is a distinct collection that captures the meaning of documents using vector storage, similar to solutions like Azure AI Search, Qdrant, Elastic Search, and Redis. The use of indexes ensures...</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>StreamState</td><td><div class=\"dni-plaintext\"><pre>&lt;null&gt;</pre></div></td></tr><tr><td>Question</td><td><div class=\"dni-plaintext\"><pre>What is KM index?</pre></div></td></tr><tr><td>NoResult</td><td><div class=\"dni-plaintext\"><pre>False</pre></div></td></tr><tr><td>NoResultReason</td><td><div class=\"dni-plaintext\"><pre>&lt;null&gt;</pre></div></td></tr><tr><td>Result</td><td><div class=\"dni-plaintext\"><pre>A KM index in Kernel Memory refers to a collection used for storing, searching, and querying data. Each index is a distinct collection that captures the meaning of documents using vector storage, similar to solutions like Azure AI Search, Qdrant, Elastic Search, and Redis. The use of indexes ensures that operations are confined to a single collection, preventing data leakage between different collections, which is important for maintaining security and privacy.</pre></div></td></tr><tr><td>TokenUsage</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.TokenUsage</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Timestamp</td><td><span>2025-04-03 03:11:50Z</span></td></tr><tr><td>ServiceType</td><td><div class=\"dni-plaintext\"><pre>Azure OpenAI</pre></div></td></tr><tr><td>ModelType</td><td><div class=\"dni-plaintext\"><pre>TextGeneration</pre></div></td></tr><tr><td>ModelName</td><td><div class=\"dni-plaintext\"><pre>gpt-4o</pre></div></td></tr><tr><td>TokenizerTokensIn</td><td><div class=\"dni-plaintext\"><pre>157</pre></div></td></tr><tr><td>TokenizerTokensOut</td><td><div class=\"dni-plaintext\"><pre>84</pre></div></td></tr><tr><td>ServiceTokensIn</td><td><div class=\"dni-plaintext\"><pre>162</pre></div></td></tr><tr><td>ServiceTokensOut</td><td><div class=\"dni-plaintext\"><pre>85</pre></div></td></tr><tr><td>ServiceReasoningTokens</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr><tr><td>RelevantSources</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Link</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index/km_concept_index/b412261166c54045ad1f1a22891417d2</pre></div></td></tr><tr><td>Index</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index</pre></div></td></tr><tr><td>DocumentId</td><td><div class=\"dni-plaintext\"><pre>km_concept_index</pre></div></td></tr><tr><td>FileId</td><td><div class=\"dni-plaintext\"><pre>b412261166c54045ad1f1a22891417d2</pre></div></td></tr><tr><td>SourceContentType</td><td><div class=\"dni-plaintext\"><pre>text/plain</pre></div></td></tr><tr><td>SourceName</td><td><div class=\"dni-plaintext\"><pre>content.txt</pre></div></td></tr><tr><td>SourceUrl</td><td><div class=\"dni-plaintext\"><pre>/download?index=kernel-memory-index&amp;documentId=km_concept_index&amp;filename=content.txt</pre></div></td></tr><tr><td>Partitions</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation+Partition</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Text</td><td><div class=\"dni-plaintext\"><pre>Kernel Memory uses vector storage to capture the meaning of documents, similar to solutions like Azure AI Search, Qdrant, Elastic Search, and Redis. Storage solutions have a maximum capacity for each collection, requiring data separation into distinct collections for security and privacy. In Kernel Memory, these collections are called &quot;indexes.&quot; Operations such as storing information, searching, and querying are confined to a single index, ensuring data does not leak between indexes.</pre></div></td></tr><tr><td>Relevance</td><td><div class=\"dni-plaintext\"><pre>0.7469811</pre></div></td></tr><tr><td>PartitionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>SectionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>LastUpdate</td><td><span>2025-04-02 19:11:44Z</span></td></tr><tr><td>Tags</td><td><table><thead><tr><th><i>key</i></th><th>value</th></tr></thead><tbody><tr><td><div class=\"dni-plaintext\"><pre>__document_id</pre></div></td><td>[ km_concept_index ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_type</pre></div></td><td>[ text/plain ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_id</pre></div></td><td>[ b412261166c54045ad1f1a22891417d2 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_part</pre></div></td><td>[ cf58ec4d3adf45dc963a882e311729f4 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__part_n</pre></div></td><td>[ 0 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__sect_n</pre></div></td><td>[ 0 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>about</pre></div></td><td>[ km ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>type</pre></div></td><td>[ concept ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__synth</pre></div></td><td>[ summary ]</td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr></tbody></table></div></details><style>\r\n",
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       "}\r\n",
       ".dni-treeview td {\r\n",
       "    vertical-align: top;\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "details.dni-treeview {\r\n",
       "    padding-left: 1em;\r\n",
       "}\r\n",
       "table td {\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "table tr { \r\n",
       "    vertical-align: top; \r\n",
       "    margin: 0em 0px;\r\n",
       "}\r\n",
       "table tr td pre \r\n",
       "{ \r\n",
       "    vertical-align: top !important; \r\n",
       "    margin: 0em 0px !important;\r\n",
       "} \r\n",
       "table th {\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Link</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index/km_concept_index/b412261166c54045ad1f1a22891417d2</pre></div></td></tr><tr><td>Index</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index</pre></div></td></tr><tr><td>DocumentId</td><td><div class=\"dni-plaintext\"><pre>km_concept_index</pre></div></td></tr><tr><td>FileId</td><td><div class=\"dni-plaintext\"><pre>b412261166c54045ad1f1a22891417d2</pre></div></td></tr><tr><td>SourceContentType</td><td><div class=\"dni-plaintext\"><pre>text/plain</pre></div></td></tr><tr><td>SourceName</td><td><div class=\"dni-plaintext\"><pre>content.txt</pre></div></td></tr><tr><td>SourceUrl</td><td><div class=\"dni-plaintext\"><pre>/download?index=kernel-memory-index&amp;documentId=km_concept_index&amp;filename=content.txt</pre></div></td></tr><tr><td>Partitions</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation+Partition</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Text</td><td><div class=\"dni-plaintext\"><pre>Kernel Memory uses vector storage to capture the meaning of documents, similar to solutions like Azure AI Search, Qdrant, Elastic Search, and Redis. Storage solutions have a maximum capacity for each collection, requiring data separation into distinct collections for security and privacy. In Kernel Memory, these collections are called &quot;indexes.&quot; Operations such as storing information, searching, and querying are confined to a single index, ensuring data does not leak between indexes.</pre></div></td></tr><tr><td>Relevance</td><td><div class=\"dni-plaintext\"><pre>-Infinity</pre></div></td></tr><tr><td>PartitionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>SectionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>LastUpdate</td><td><span>2025-04-02 19:11:44Z</span></td></tr><tr><td>Tags</td><td><table><thead><tr><th><i>key</i></th><th>value</th></tr></thead><tbody><tr><td><div class=\"dni-plaintext\"><pre>__document_id</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ km_concept_index ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_type</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ text/plain ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_id</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ b412261166c54045ad1f1a22891417d2 ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_part</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ cf58ec4d3adf45dc963a882e311729f4 ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__part_n</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ 0 ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__sect_n</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ 0 ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>about</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ km ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>type</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ concept ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__synth</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ summary ]</pre></div></td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table><style>\r\n",
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       ".dni-treeview {\r\n",
       "    white-space: nowrap;\r\n",
       "}\r\n",
       ".dni-treeview td {\r\n",
       "    vertical-align: top;\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "details.dni-treeview {\r\n",
       "    padding-left: 1em;\r\n",
       "}\r\n",
       "table td {\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "table tr { \r\n",
       "    vertical-align: top; \r\n",
       "    margin: 0em 0px;\r\n",
       "}\r\n",
       "table tr td pre \r\n",
       "{ \r\n",
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       "    text-align: start;\r\n",
       "}\r\n",
       "</style>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var answer = await memory.AskAsync(question: \"What is KM index?\", index: \"kernel-memory-index\");\n",
    "answer.Display();\n",
    "var summary = await memory.SearchSummariesAsync(index: \"kernel-memory-index\");\n",
    "summary.Display();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. 使用嵌入+摘要流程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
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    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
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   },
   "outputs": [],
   "source": [
    "await memory.ImportTextAsync(\n",
    "    text: text, \n",
    "    documentId: \"km_concept_index\", \n",
    "    tags: new TagCollection()\n",
    "    {\n",
    "        { \"about\", \"km\" },\n",
    "        { \"type\", \"concept\" }\n",
    "    },\n",
    "    index: \"kernel-memory-index\",\n",
    "    steps: Microsoft.KernelMemory.Constants.PipelineWithSummary); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    },
    "vscode": {
     "languageId": "polyglot-notebook"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<details open=\"open\" class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>A KM index in Kernel Memory refers to a collection used to store, search, and query data. Kernel Memory uses vector storage to capture the meaning of documents and works with solutions like Azure AI Search, Qdrant, Elastic Search, and Redis. Each index has a maximum capacity and is separated from ot...</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>StreamState</td><td><div class=\"dni-plaintext\"><pre>&lt;null&gt;</pre></div></td></tr><tr><td>Question</td><td><div class=\"dni-plaintext\"><pre>What is KM index?</pre></div></td></tr><tr><td>NoResult</td><td><div class=\"dni-plaintext\"><pre>False</pre></div></td></tr><tr><td>NoResultReason</td><td><div class=\"dni-plaintext\"><pre>&lt;null&gt;</pre></div></td></tr><tr><td>Result</td><td><div class=\"dni-plaintext\"><pre>A KM index in Kernel Memory refers to a collection used to store, search, and query data. Kernel Memory uses vector storage to capture the meaning of documents and works with solutions like Azure AI Search, Qdrant, Elastic Search, and Redis. Each index has a maximum capacity and is separated from others for security, privacy, or other important reasons. All operations are confined within a single index, ensuring that data does not leak between different indexes.</pre></div></td></tr><tr><td>TokenUsage</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.TokenUsage</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Timestamp</td><td><span>2025-04-03 03:13:46Z</span></td></tr><tr><td>ServiceType</td><td><div class=\"dni-plaintext\"><pre>Azure OpenAI</pre></div></td></tr><tr><td>ModelType</td><td><div class=\"dni-plaintext\"><pre>TextGeneration</pre></div></td></tr><tr><td>ModelName</td><td><div class=\"dni-plaintext\"><pre>gpt-4o</pre></div></td></tr><tr><td>TokenizerTokensIn</td><td><div class=\"dni-plaintext\"><pre>280</pre></div></td></tr><tr><td>TokenizerTokensOut</td><td><div class=\"dni-plaintext\"><pre>90</pre></div></td></tr><tr><td>ServiceTokensIn</td><td><div class=\"dni-plaintext\"><pre>284</pre></div></td></tr><tr><td>ServiceTokensOut</td><td><div class=\"dni-plaintext\"><pre>91</pre></div></td></tr><tr><td>ServiceReasoningTokens</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr><tr><td>RelevantSources</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Link</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index/km_concept_index/f7dbbf52bd42421b83b51ade2646d6da</pre></div></td></tr><tr><td>Index</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index</pre></div></td></tr><tr><td>DocumentId</td><td><div class=\"dni-plaintext\"><pre>km_concept_index</pre></div></td></tr><tr><td>FileId</td><td><div class=\"dni-plaintext\"><pre>f7dbbf52bd42421b83b51ade2646d6da</pre></div></td></tr><tr><td>SourceContentType</td><td><div class=\"dni-plaintext\"><pre>text/plain</pre></div></td></tr><tr><td>SourceName</td><td><div class=\"dni-plaintext\"><pre>content.txt</pre></div></td></tr><tr><td>SourceUrl</td><td><div class=\"dni-plaintext\"><pre>/download?index=kernel-memory-index&amp;documentId=km_concept_index&amp;filename=content.txt</pre></div></td></tr><tr><td>Partitions</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation+Partition</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Text</td><td><div class=\"dni-plaintext\"><pre>Kernel Memory leverages vector storage to save the meaning of the documents ingested into the service, solutions like Azure AI Search, Qdrant, Elastic Search, Redis etc.\n",
       "\n",
       "Typically, storage solutions offer a maximum capacity for each collection, and often one needs to clearly separate data over distinct collections for security, privacy or other important reasons.\n",
       "\n",
       "In KM terms, these collection are called “indexes”.\n",
       "\n",
       "When storing information, when searching, and when asking questions, KM is always working within the boundaries of one index. Data in one index never leaks into other indexes.</pre></div></td></tr><tr><td>Relevance</td><td><div class=\"dni-plaintext\"><pre>0.790519</pre></div></td></tr><tr><td>PartitionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>SectionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>LastUpdate</td><td><span>2025-04-02 19:13:01Z</span></td></tr><tr><td>Tags</td><td><table><thead><tr><th><i>key</i></th><th>value</th></tr></thead><tbody><tr><td><div class=\"dni-plaintext\"><pre>__document_id</pre></div></td><td>[ km_concept_index ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_type</pre></div></td><td>[ text/plain ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_id</pre></div></td><td>[ f7dbbf52bd42421b83b51ade2646d6da ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_part</pre></div></td><td>[ 0e17a1150aad460ead7f29fad8b22089 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__part_n</pre></div></td><td>[ 0 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__sect_n</pre></div></td><td>[ 0 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>about</pre></div></td><td>[ km ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>type</pre></div></td><td>[ concept ]</td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr><tr><td>1</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation+Partition</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Text</td><td><div class=\"dni-plaintext\"><pre>Kernel Memory uses vector storage to capture the meaning of documents. It works with solutions like Azure AI Search, Qdrant, Elastic Search, and Redis. Each collection has a maximum capacity and must be separated for security or privacy reasons. In Kernel Memory, these collections are called &quot;indexes.&quot; All operations, including storing, searching, and querying, occur within a single index, ensuring data does not leak between indexes.</pre></div></td></tr><tr><td>Relevance</td><td><div class=\"dni-plaintext\"><pre>0.74856585</pre></div></td></tr><tr><td>PartitionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>SectionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>LastUpdate</td><td><span>2025-04-02 19:13:04Z</span></td></tr><tr><td>Tags</td><td><table><thead><tr><th><i>key</i></th><th>value</th></tr></thead><tbody><tr><td><div class=\"dni-plaintext\"><pre>__document_id</pre></div></td><td>[ km_concept_index ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_type</pre></div></td><td>[ text/plain ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_id</pre></div></td><td>[ f7dbbf52bd42421b83b51ade2646d6da ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_part</pre></div></td><td>[ 31becfa8e91e4cf488c6cd1b4051c1ab ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__part_n</pre></div></td><td>[ 0 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__sect_n</pre></div></td><td>[ 0 ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>about</pre></div></td><td>[ km ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>type</pre></div></td><td>[ concept ]</td></tr><tr><td><div class=\"dni-plaintext\"><pre>__synth</pre></div></td><td>[ summary ]</td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr></tbody></table></div></details><style>\r\n",
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       "    font-style: italic;\r\n",
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       "    white-space: nowrap;\r\n",
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       ".dni-treeview {\r\n",
       "    white-space: nowrap;\r\n",
       "}\r\n",
       ".dni-treeview td {\r\n",
       "    vertical-align: top;\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "details.dni-treeview {\r\n",
       "    padding-left: 1em;\r\n",
       "}\r\n",
       "table td {\r\n",
       "    text-align: start;\r\n",
       "}\r\n",
       "table tr { \r\n",
       "    vertical-align: top; \r\n",
       "    margin: 0em 0px;\r\n",
       "}\r\n",
       "table tr td pre \r\n",
       "{ \r\n",
       "    vertical-align: top !important; \r\n",
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       "table th {\r\n",
       "    text-align: start;\r\n",
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       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var answer = await memory.AskAsync(question: \"What is KM index?\", index: \"kernel-memory-index\");\n",
    "answer.Display();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
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    "vscode": {
     "languageId": "polyglot-notebook"
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Link</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index/km_concept_index/f7dbbf52bd42421b83b51ade2646d6da</pre></div></td></tr><tr><td>Index</td><td><div class=\"dni-plaintext\"><pre>kernel-memory-index</pre></div></td></tr><tr><td>DocumentId</td><td><div class=\"dni-plaintext\"><pre>km_concept_index</pre></div></td></tr><tr><td>FileId</td><td><div class=\"dni-plaintext\"><pre>f7dbbf52bd42421b83b51ade2646d6da</pre></div></td></tr><tr><td>SourceContentType</td><td><div class=\"dni-plaintext\"><pre>text/plain</pre></div></td></tr><tr><td>SourceName</td><td><div class=\"dni-plaintext\"><pre>content.txt</pre></div></td></tr><tr><td>SourceUrl</td><td><div class=\"dni-plaintext\"><pre>/download?index=kernel-memory-index&amp;documentId=km_concept_index&amp;filename=content.txt</pre></div></td></tr><tr><td>Partitions</td><td><table><thead><tr><th><i>index</i></th><th>value</th></tr></thead><tbody><tr><td>0</td><td><details class=\"dni-treeview\"><summary><span class=\"dni-code-hint\"><code>Microsoft.KernelMemory.Citation+Partition</code></span></summary><div><table><thead><tr></tr></thead><tbody><tr><td>Text</td><td><div class=\"dni-plaintext\"><pre>Kernel Memory uses vector storage to capture the meaning of documents. It works with solutions like Azure AI Search, Qdrant, Elastic Search, and Redis. Each collection has a maximum capacity and must be separated for security or privacy reasons. In Kernel Memory, these collections are called &quot;indexes.&quot; All operations, including storing, searching, and querying, occur within a single index, ensuring data does not leak between indexes.</pre></div></td></tr><tr><td>Relevance</td><td><div class=\"dni-plaintext\"><pre>-Infinity</pre></div></td></tr><tr><td>PartitionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>SectionNumber</td><td><div class=\"dni-plaintext\"><pre>0</pre></div></td></tr><tr><td>LastUpdate</td><td><span>2025-04-02 19:13:04Z</span></td></tr><tr><td>Tags</td><td><table><thead><tr><th><i>key</i></th><th>value</th></tr></thead><tbody><tr><td><div class=\"dni-plaintext\"><pre>__document_id</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ km_concept_index ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_type</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ text/plain ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_id</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ f7dbbf52bd42421b83b51ade2646d6da ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__file_part</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ 31becfa8e91e4cf488c6cd1b4051c1ab ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__part_n</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ 0 ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__sect_n</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ 0 ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>about</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ km ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>type</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ concept ]</pre></div></td></tr><tr><td><div class=\"dni-plaintext\"><pre>__synth</pre></div></td><td><div class=\"dni-plaintext\"><pre>[ summary ]</pre></div></td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table></td></tr></tbody></table></div></details></td></tr></tbody></table><style>\r\n",
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   ],
   "source": [
    "var summary = await memory.SearchSummariesAsync(index: \"kernel-memory-index\");\n",
    "summary.Display();"
   ]
  }
 ],
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